Journal of the American Chemical Society · 2019 · 136 citations · 36 references
Targeted covalent inhibitor design is gaining increasing interest and acceptance. A typical covalent kinase inhibitor design targets a reactive cysteine; however, this strategy is limited by the low abundance of cysteine and acquired drug resistance from point mutations. Inspired by the recent development of lysine-targeted chemical probes, we asked if nucleophilic (reactive) catalytic lysines are common on the basis of the published crystal structures of the human kinome. Using a newly developed p K<sub>a</sub> prediction tool based on continuous constant pH molecular dynamics, the catalytic lysines of eight unique kinases from various human kinase groups were retrospectively and prospectively predicted to be nucleophilic, when kinase is in the rare DFG-out/αC-out type of conformation. Importantly, other reactive lysines as well as cysteines at various locations were also identified. On the basis of the findings, we proposed a new strategy in which selective type II reversible kinase inhibitors are modified to design highly selective, lysine-targeted covalent inhibitors. Traditional covalent drugs were discovered serendipitously; the presented tool, which can assess the reactivities of any potentially targetable residues, may accelerate the rational discovery of new covalent inhibitors. Another significant finding of the work is that lysines and cysteines in kinases may adopt neutral and charged states at physiological pH, respectively. This finding may shift the current paradigm of computational studies of kinases, which assume fixed solution protonation states.
36
ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB
James Maier, Carmenza Martinez, Koushik Kasavajhala et al. · Journal of Chemical Theory and Computation · 2015 · 10.6K citations · Full text
Structural Bioinformatics, Biomolecular Structure Prediction, Amber Ff12sb Parameter +24
Chresten R. Søndergaard, Mats H. M. Olsson, Michał Rostkowski et al. · Journal of Chemical Theory and Computation · 2011 · 1.9K citations · Full text
Protein Pka Predictions, Chemical Analysis, Biomolecular Structure Prediction +20